including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model based algorithm. Most of them are ...

Hybrid particle filtering algorithms use heuristics during their computation, which can often lead to inefficient computation and less accurate results. But a team from MIT's Computer Science and ...

The Otsu is combined with an elite comprehensive particle swarm algorithm for image segmentation ... it could not meet the requirements of rapid diagnosis. Swarm intelligence optimization algorithm ...

Genetic algorithm is widely used in multi-objective mechanical structure optimization. In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed.

Functions, examples and data from the book "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2011), ISBN 978-0123756626. Implementation of metaheuristic ...

A Los Alamos National Laboratory-led project presents a machine learning algorithm that harnesses artificial ... for real-time autonomous control and optimization of complex dynamic systems, including ...

Therefore, a novel cylindrical coordinate particle swarm optimization (PSO) planner with gene targeting ... exploiting the cylindrical coordinate to represent the flight route, the PSO algorithm with ...